{"id":"https://openalex.org/W2135393752","doi":"https://doi.org/10.1109/cmsp.2011.63","title":"Marker-Less Human Body Tracking Using Locally Affine Invariant Contour Matching","display_name":"Marker-Less Human Body Tracking Using Locally Affine Invariant Contour Matching","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2135393752","doi":"https://doi.org/10.1109/cmsp.2011.63","mag":"2135393752"},"language":"en","primary_location":{"id":"doi:10.1109/cmsp.2011.63","doi":"https://doi.org/10.1109/cmsp.2011.63","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cmsp.2011.63","pdf_url":null,"source":{"id":"https://openalex.org/S7407096391","display_name":"International Conference on Multimedia and Signal Processing (CMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Multimedia and Signal Processing","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2135393752"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062278877","display_name":"Zhaozhong Wang","orcid":"https://orcid.org/0009-0008-9461-8237","observed_orcids":["https://orcid.org/0009-0008-9461-8237"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaozhong Wang","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China","Image Process. Center, BeiHang Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Process. Center, BeiHang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101522865","display_name":"Min Liang","orcid":"https://orcid.org/0000-0002-6767-4232","observed_orcids":["https://orcid.org/0000-0002-6767-4232"]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liang","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China","Image Process. Center, BeiHang Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Process. Center, BeiHang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110128057","display_name":"Zesheng Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zesheng Tang","raw_affiliation_strings":["Image Processing Center, Beihang University, Beijing, China","Image Process. Center, BeiHang Univ., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Image Processing Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Image Process. Center, BeiHang Univ., Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"285"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.008999999612569809,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.0017999999690800905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/image-segmentation","display_name":"image segmentation","score":0.7950000166893005},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"background subtraction","score":0.984000027179718},{"id":"https://openalex.org/keywords/outlier-removal","display_name":"outlier removal","score":0.8600000143051147},{"id":"https://openalex.org/keywords/geodesic-distance","display_name":"geodesic distance","score":0.9110000133514404},{"id":"https://openalex.org/keywords/self-occlusion","display_name":"self-occlusion","score":0.8870000243186951},{"id":"https://openalex.org/keywords/viewpoint-variation","display_name":"viewpoint variation","score":0.8159999847412109}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.79451984167099},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7741073369979858},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.681762158870697},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.6242713928222656},{"id":"https://openalex.org/C165818556","wikidata":"https://www.wikidata.org/wiki/Q213488","display_name":"Geodesic","level":2,"score":0.5944153666496277},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.5496693849563599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5404253005981445},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.46426156163215637},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4538988471031189},{"id":"https://openalex.org/C18516315","wikidata":"https://www.wikidata.org/wiki/Q4688950","display_name":"Affine shape adaptation","level":4,"score":0.4490370452404022},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4427148699760437},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.43369919061660767},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.42537909746170044},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3871009945869446},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.24272200465202332},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20885446667671204},{"id":"https://openalex.org/C207221997","wikidata":"https://www.wikidata.org/wiki/Q938614","display_name":"Affine combination","level":3,"score":0.1468624770641327},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cmsp.2011.63","doi":"https://doi.org/10.1109/cmsp.2011.63","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cmsp.2011.63","pdf_url":null,"source":{"id":"https://openalex.org/S7407096391","display_name":"International Conference on Multimedia and Signal Processing (CMSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Multimedia and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1526980063","https://openalex.org/W1661021387","https://openalex.org/W1981745143","https://openalex.org/W1983673593","https://openalex.org/W1995903777","https://openalex.org/W2050022661","https://openalex.org/W2057175746","https://openalex.org/W2078660975","https://openalex.org/W2099266232","https://openalex.org/W2099333815","https://openalex.org/W2104276184","https://openalex.org/W2124351162","https://openalex.org/W2125535259","https://openalex.org/W2131768110","https://openalex.org/W2146932984","https://openalex.org/W2149297575","https://openalex.org/W2151103935","https://openalex.org/W2153903029","https://openalex.org/W2160105572","https://openalex.org/W2162253476","https://openalex.org/W2165414070","https://openalex.org/W2165761249","https://openalex.org/W2169344030","https://openalex.org/W2171146882","https://openalex.org/W4234333941","https://openalex.org/W4250903335"],"related_works":["https://openalex.org/W2095016389","https://openalex.org/W2147477589","https://openalex.org/W2100378922","https://openalex.org/W2888129523","https://openalex.org/W2144792299","https://openalex.org/W2098248166","https://openalex.org/W7100864399","https://openalex.org/W2342006632","https://openalex.org/W1973213239","https://openalex.org/W2149502205"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,62],"affine":[4,38],"invariant":[5,39],"contour":[6,40],"matching":[7,30,52],"method":[8,88],"for":[9],"human":[10,18,49,84,92,106,113],"body":[11],"tracking":[12,107],"without":[13],"markers.":[14],"The":[15,29,51,86],"contours":[16,32,71],"of":[17,31,48,83,97,122],"bodies":[19],"are":[20,116],"extracted":[21],"using":[22,54,66],"image":[23],"segmentation":[24],"or":[25],"background":[26],"subtraction":[27],"methods.":[28],"is":[33,57,72,101],"based":[34],"on":[35],"a":[36],"locally":[37],"descriptor,":[41],"which":[42],"can":[43,89],"approximate":[44],"the":[45,55,67,110,120,123],"articulated":[46,91],"motion":[47,114],"bodies.":[50],"algorithm":[53],"descriptor":[56],"simple":[58],"and":[59,80],"fast,":[60],"wherein":[61],"outlier":[63],"rejection":[64],"scheme":[65],"geodesic":[68],"distance":[69],"along":[70],"also":[73],"embedded,":[74],"making":[75],"it":[76],"robust":[77],"to":[78,103,118],"self-occlusion":[79],"viewpoint":[81],"changes":[82],"poses.":[85],"proposed":[87],"track":[90],"motions":[93],"with":[94],"large":[95],"degree":[96],"pose":[98],"variations;":[99],"this":[100],"superior":[102],"many":[104],"marker-less":[105],"algorithms":[108],"in":[109],"literature.":[111],"Real-world":[112],"sequences":[115],"tested":[117],"demonstrate":[119],"performance":[121],"method.":[124]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2016-06-24T00:00:00"}